50+ Deep Learning Jobs in India

Experience:

• Junior Level: 4+ years
• Senior Level: 8+ years

Work Mode:Remote

About the Role:

We are seeking a highly skilled and motivated Data Scientist with deep expertise in Machine Learning (ML), Deep Learning, and Large Language Models (LLMs) to join our forward-thinking AI & Data Science team. This is a unique opportunity to contribute to real-world impact in the healthcare industry, transforming the way patients and providers interact with health data through Generative AI and NLP-driven solutions.

Key Responsibilities:

• LLM Development & Fine-Tuning:
• Fine-tune and customize LLMs (e.g., GPT, LLaMA2, Mistral) for use cases such as text classification, NER, summarization, Q&A, and sentiment analysis.
• Experience with other transformer-based models (e.g., BERT) is a plus.
• Data Engineering & Pipeline Design:
• Collaborate with data engineering teams to build scalable, high-quality data pipelines for training/fine-tuning LLMs on structured and unstructured healthcare datasets.
• Experimentation & Evaluation:
• Design rigorous model evaluation and testing frameworks (e.g., with tools like TruLens) to assess performance and optimize model outcomes.
• Deployment & MLOps Integration:
• Work closely with MLOps teams to ensure seamless integration of models into production environments on cloud platforms (AWS, Azure, GCP).
• Predictive Modeling in Healthcare:
• Apply ML/LLM techniques to build predictive models for use cases in oncology (e.g., survival analysis, risk prediction, RWE generation).
• Cross-functional Collaboration:
• Engage with domain experts, product managers, and clinical teams to translate healthcare challenges into actionable AI solutions.
• Mentorship & Knowledge Sharing:
• Mentor junior team members and contribute to the growth of the team’s technical expertise.

Qualifications:

• Master’s or Doctoral degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 5+ years of hands-on experience in machine learning and deep learning, with at least 12 months of direct work on LLMs.
• Strong coding skills in Python, with experience in libraries like HuggingFace Transformers, spaCy, NLTK, TensorFlow, or PyTorch.
• Experience with prompt engineering, RAG pipelines, and evaluation techniques in real-world NLP deployments.
• Hands-on experience in deploying models on cloud platforms (AWS, Azure, or GCP).
• Familiarity with the healthcare domain and working on Real World Evidence (RWE) datasets is highly desirable.

Preferred Skills:

• Strong understanding of healthcare data regulations (HIPAA, PHI handling, etc.)
• Prior experience in speech and text-based AI applications
• Excellent communication and stakeholder engagement skills
• A passion for impactful innovation in the healthcare space

Artificial Intelligence Researcher

Job description 

This is a full-time on-site role for an Artificial Intelligence Researcher at Daten & Wissen in Mumbai. The researcher will be responsible for conducting cutting-edge research in areas such as Computer Vision, Natural Language Processing, Deep Learning, and Time Series Predictions. The role involves collaborating with industry partners, developing AI solutions, and contributing to the advancement of AI technologies.

Key Responsibilities:

• Design, develop, and implement computer vision algorithms for object detection, tracking, recognition, segmentation, and activity analysis.
• Train and fine-tune deep learning models (CNNs, RNNs, Transformers, etc.) for various video and image-based tasks.
• Work with large-scale datasets and annotated video data to enhance model accuracy and robustness.
• Optimize and deploy models to run efficiently on edge devices, cloud environments, and GPUs.
• Collaborate with cross-functional teams including data scientists, backend engineers, and UI/UX designers.
• Continuously explore new research, tools, and technologies to enhance our product capabilities.
• Perform model evaluation, testing, and benchmarking for accuracy, speed, and reliability.

Required Skills:

• Proficiency in Python and C++.
• Experience with object detection models like YOLO, SSD, Faster R-CNN.
• Strong understanding of classical computer vision techniques (OpenCV, image processing, etc.).
• Expertise in Machine Learning, Pattern Recognition, and Statistics.
• Experience with frameworks like TensorFlow, PyTorch, MXNet.
• Strong understanding of Deep Learning and Video Analytics.
• Experience with CUDA, Docker, Nvidia NGC Containers, and cloud platforms (AWS, Azure, GCP).
• Familiar with Kubernetes, Kafka, and model optimization for Nvidia hardware (e.g., TensorRT).

Qualifications

• 2+ years of hands-on experience in computer vision and deep learning.
• Computer Science and Data Science skills
• Expertise in Pattern Recognition
• Strong background in Research and Statistics
• Proficiency in Machine Learning algorithms
• Experience with AI frameworks such as TensorFlow or PyTorch
• Excellent problem-solving and analytical skills

Location                    : Mumbai (Bhayandar) 

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Dear Candidate;

Greetings from!!

Vinga Software Solutions

Product Details:

Bautomate is a Intelligent Business Process Automation Software comprehensive hyper automation platform housed within a single software system. | AI-Powered Process Automation Solution

Vinga Software Solutions is the Parent Company of Bautomate Product https://www.vinga.biz/about/ and you'll be in the role of Vinga Software Solutions.

About the Product:

Bautomate offers cognitive automation solutions designed to automate repetitive tasks, eliminate bottlenecks, and enable seamless workflows.

The product combines artificial intelligence, business process management, robotic process automation (RPA), and optical character recognition (OCR) to streamline and optimize various business processes. It provides a transformative solution to empower businesses of all sizes across industries to achieve unprecedented levels of productivity and success.

Unique features of Bautomate's business process automation solutions include:

Workflow Automation: Bautomate's intuitive drag-and-drop interface enables users to easily automate complex workflows, leveraging pre-built components for effective intelligent automation.

Data Integration: Seamless integration with all existing systems and applications ensures smooth data transfer and real-time information exchange, enhancing collaboration and decision-making.

Intelligent Analytics: By harnessing advanced analytics capabilities, businesses can gain valuable insights into their processes, identify areas for improvement, and make data-driven decisions. It allows organizations to optimize their operations and drive growth based on comprehensive data analysis.

Cognitive Automation: Our comprehensive solution encompasses Intelligent Document Capture utilizing OCR & NLP, Predictive Analytics for Forecasting, Computer Vision and Image Processing, Anomaly Detection, and an Intelligent Decision Engine.

Scalability and Flexibility: Bautomate platform is highly scalable, accommodating the evolving needs of businesses as they grow. It offers flexible deployment options, including on-premises and cloud-based solutions.

About Us: We are leading provider of business process automation, aiding firms to streamline operations, boost efficiency, and spur growth. Our suite includes AP automation, purchase order automation, P2P automation, invoice automation, IVR testing automation, form etc.

AI/ML Developer – Lead (LLM & Gen AI)

Experience Required: 5 to 9 years

Job Location: Madurai

Role Overview:

We are looking for a Senior AI/ML Developer with expertise in Large Language Models (LLM) & Generative AI. The ideal candidate should have experience in developing and deploying AI-driven solutions.

Key Responsibilities:

• Design and develop AI/ML models focusing on LLMs & Generative AI.
• Collaborate with data scientists to optimize model performance.
• Deploy AI solutions on cloud platforms (AWS, GCP, Azure).
• Lead AI projects and mentor junior developers.

Required Skills:

• Expertise in LLMs, Gen AI, NLP, and Deep Learning.
• Strong coding skills in Python, TensorFlow, PyTorch.
• Experience in ML model deployment using Docker/Kubernetes.
• Knowledge of cloud-based AI/ML services.

Can you pls fill these details

Total work experience :

Experience in AI/ML :

Exp in LLM & Generative AI :

Exp in NLP, deep learning, python / pytorch / tensorflow :

Exp in 

Current CTC ;

Expected CTC :

Last working day :

Notice Period:

Current Location :

Native Place :

Reason for Job Change :

Marital Status :

Do you have any offer in hand :

We're Hiring: Machine Learning Engineer

Location: Jaipur/Indore/Gurgaon

Job Type: Full-time

Experience: Mid-Senior (4+ years in ML, 1+ year with LLMs)

We’re looking for a Machine Learning Engineer / Data Scientist with expertise in ML, NLP, and Large Language Models (LLMs). The ideal candidate will have 4+ years of ML/NLP experience and at least 1 year of hands-on experience with LLMs (fine-tuning, RAG, AI-driven agents).

Key Responsibilities:

Fine-tune and optimize LLMs (GPT, LLaMA, Mistral, etc.)

Develop AI agents using CrewAI, LangChain, AutoGPT

Build and enhance RAG pipelines with FAISS, Pinecone, Weaviate

Work on NLP models (text classification, summarization, NER, etc.)

Stay updated with the latest in LLM advancements

Skills & Qualifications:

✅ 4+ years in ML/NLP, 1+ year in LLMs

✅ Proficient in Python, PyTorch, TensorFlow

✅ Experience with LLM fine-tuning (LoRA, PEFT, QLoRA)

✅ Hands-on with AI agents and RAG tools

Good-to-Have:

🔹 Multi-modal AI (text-to-image, speech-to-text)

🔹 Knowledge of contrastive learning, RLHF

🔹 Open-source contributions or AI publications

Dear Professionals!

We are HiringGENAIML Developer!

Key Skills & Qualifications

• Strong proficiency in Python, with a focus on GenAI best practices and frameworks.
• Expertise in machine learning algorithms, data modeling, and model evaluation.
• Experience with NLP techniques, computer vision, or generative AI.
• Deep knowledge of LLMs, prompt engineering, and GenAI technologies.
• Proficiency in data analysis tools like Pandas and NumPy.
• Hands-on experience with vector databases such as Weaviate or Pinecone.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Strong problem-solving skills and critical-thinking abilities.
• Experience with AI model fairness, bias detection, and adversarial testing.
• Excellent communication skills to translate business needs into technical solutions.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, AI, or a related field.
• Experience with MLOps practices for model deployment and maintenance.
• Strong understanding of data pipelines, APIs, and cloud infrastructure.
• Advanced degree in Computer Science, Machine Learning, or a related field (preferred).

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Link to apply- https://tally.so/r/w8RpLk

About Us

At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.

The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.

You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.

What You’ll Do:

• AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
• Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
• Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
• Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
• Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
• Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
• Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.

What You’ll Bring:

• Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
• Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
• Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
• Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
• Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
• Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
• Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.

Why GreenStitch?

GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:

• Work on high-impact AI projects that contribute to sustainability and decarbonisation.
• Be part of a dynamic and collaborative team committed to making a difference.
• Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
• Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.

Location: Bangalore(India)

Employment Type: Full Time, Permanent

Industry Type: Climate-Tech / Fashion-Tech

Department: Data Science & Machine Learning

Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

Job Description :

This is an exciting opportunity for an experienced industry professional with strong expertise in artificial intelligence and machine learning to join and add value to a dedicated and friendly team. We are looking for an AIML Engineer who is passionate about developing AI-driven technology solutions. As a core member of the Development Team, the candidate will take ownership of AI/ML projects by working independently with little supervision.

The ideal candidate is a highly resourceful and skilled professional with experience in applying AI to practical and comprehensive technology solutions. You must also possess expertise in machine learning, deep learning, TensorFlow, Python, and NLP, along with a strong understanding of algorithms, functional design principles, and best practices.

You will be responsible for leading AI/ML initiatives, ensuring scalable and optimized solutions, and integrating AI capabilities into applications. Additionally, you will work on REST API development, NoSQL database design, and RDBMS optimizations.

Key Responsibilities :

- Develop and implement AI/ML models to solve real-world problems.

- Utilize machine learning, deep learning, TensorFlow, and NLP techniques.

- Lead AI-driven projects with program leadership, governance, and change enablement.

- Apply best practices in algorithm development, object-oriented and functional design principles.

- Design and optimize NoSQL and RDBMS databases for AI applications.

- Develop and integrate AI-powered REST APIs for seamless application functionality.

- Collaborate with cross-functional teams to deliver AI-driven solutions.

- Stay updated with the latest advancements in AI and ML technologies.

Required Qualifications :

- Qualification: Bachelor's or Master's degree in Computer Science or a related field.

- Minimum 2 years of experience in AI/ML application development.

- Strong expertise in machine learning, deep learning, TensorFlow, Python, and NLP.

- Experience in program leadership, governance, and change enablement.

- Knowledge of basic algorithms, object-oriented and functional design principles.

- Experience in REST API development, NoSQL database design, and RDBMS optimization.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Location: Patna, Bihar

Why make a career at Plus91:

At Plus91, we believe we make a better world together. We value the diversity, creativity, and experience of our people. And it's your ideas that help us improve our products and customer experiences and create value for the world of healthcare.

We help our people become better professionals, as well as human beings. We are a hands-on company, and our team is all about getting things done. We nurture experiential learning. Bring passion and dedication to your job, and there's no telling what you can accomplish at Plus91.

We are always on the lookout for bright and innovative people to help us reach our business goals and your personal goals. If this role with us fits your career goals and you think you can fit into our hands-on and go-getting culture, do apply.

We are looking for a skilled AI/ML Engineer to join our team and help revolutionize the accounting and GST automation industry. If you are passionate about machine learning, data processing, and building intelligent automation solutions, this is the role for you!

📌 Job Responsibilities:

• Develop and deploy AI/ML models for data processing and automation.
• Work on OCR-based document processing and intelligent data extraction.
• Optimize machine learning algorithms for accuracy and performance.
• Collaborate with product and development teams to integrate AI solutions.
• Research and implement cutting-edge AI/ML techniques.

🛠 Skills Required:

• Strong experience in Python, TensorFlow, PyTorch, OpenCV
• Expertise in Machine Learning, Deep Learning, and NLP
• Hands-on experience with OCR tools like Tesseract, AWS Textract, or Google Vision API
• Knowledge of data preprocessing, model training, and deployment
• Familiarity with big data processing (Spark, Hadoop) is a plus

Job Role: Machine Learning & AI Developer

Skills: Data Science, Deep Learning, ML & Generative AI,

Job Description:

We are looking for a highly skilled and experienced ML& AI Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities

• Develop and maintain web applications using Django and Flask frameworks.
• Design and implement RESTful APIs using Django Rest Framework (DRF)
• Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.
• Build and integrate APIs for AI/ML models into existing systems.
• Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
• Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
• Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
• Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.
• Ensure the scalability, performance, and reliability of applications and deployed models.
• Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.
• Write clean, maintainable, and efficient code following best practices.
• Conduct code reviews and provide constructive feedback to peers.
• Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of professional experience as a Python Developer.
• Proficient in Python with a strong understanding of its ecosystem.
• Extensive experience with Django and Flask frameworks.
• Hands-on experience with AWS services for application deployment and management.
• Strong knowledge of Django Rest Framework (DRF) for building APIs.
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Experience with transformer architectures for NLP and advanced AI solutions.
• Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with MLOps practices for managing the machine learning lifecycle.
• Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 3+ years

Skills Required - Radiology, visual images, text, classical model, LLM multi model

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

We are looking for someone who can adapt evolving strategic priorities across various growth phases. The responsibilities will evolve with time but will broadly include:

● Strategy & Vision: Understand the company’s business and research goals and plan

for AI exploration and implementation accordingly

● Research & Innovation:

○ Review state-of-the-art research and experiment with new models,

algorithms, architectures - around agentic AI, recommendation /

personalisation models and agent based marketing modeling / simulation

○ Stay updated with the latest advancements in the field of AI

● Solution development:

○ Lead development of practical, scalable and reliable AI solutions for our

customers

○ Lead model development, training and fine-tuning of both Gen AI a

traditional AI models

● Data strategy & management: Formulate and execute strategy to source, ingest

and process critical data to feed our research projects and AI/ML solutions

● Team Building: Participate in building out the rest of our research and engineering

team

● Experience -

○ 2+ years of experience in machine learning, deep learning or applied

research (academic or industry)

○ Experience with recommendation models (such as DeepFM, DLRM and

others), personalisation or reinforcement learning models

○ Understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

○ Programming knowledge in languages such Python or Scala

○ Experience with image/video models would be an added advantage

○ Experience with any marketing specific modeling techniques also a pl

● Mindset -

○ Resourceful, willing to experiment and work in an ambiguous, early stage,

fast-changing environment

○ Excited to innovate and solve challenging problems from first principal

○ Masters degree program in Computer Science, ECE or associated programs -

Data Science, Statistics, AI/ML etc. PhD is a plus, but not mandatory

○ Strong foundation in Mathematics & Statistics

○ Publications in AI/ML or related field

Overview

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates | India

Job Responsibilities

• Solve complex business problems by applying NLP, CV and Machine Learning techniques. Integrate these algorithms into multiple product and solution offerings.
• Conduct research to advance the field of generative AI, including staying up-to-date with the latest developments and techniques. Develop new generative models or improve existing ones.
• Build cognitive capabilities in multiple product and solution offerings.
• Systemic study of latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems.
• Envisage next-generation challenges and recommend solutions to solve them.
• Facilitate the IP generation process in the organization and works towards patenting of inventions.

Requirements & Qualifications:

• B.E/B.TECH/MS/M.TECH/MCA.
• Knowledge / Competency / Skills: - Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP).
• Knowledge of various Generative AI models and Prompt Engineering.
• Hands-on coding skills in Python, at least 4 years’ python experience. (Preferred) Strong NLP skills.

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

○ 2+ years of experience in machine learning, deep learning or applied

research (academic or industry)

○ Experience with recommendation models (such as DeepFM, DLRM and

others), personalisation or reinforcement learning models

○ Understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

○ Programming knowledge in languages such Python or Scala

○ Experience with image/video models would be an added advantage

○ Experience with any marketing specific modeling techniques also a plus

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

Skills and attributes for success

To qualify for the role, you must have

• Experience of minimum 2 years, CTC – 18LPA
• Ability to develop Deep Learning frameworks to solve problems.
• Design and create platforms for image processing and visualization.
• Knowledge of computer vision libraries.
• Understanding of dataflow programming.
• B.E. (E&TC /Computer / IT / Mechanical / Electronics)
• C++, video analytics, CUDA, Deepstream

The opportunity

We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

• Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
• Take ownership to drive computer vision solutions and meet customer requirements.
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
• Developing data handling and machine learning pipelines for training
• In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
• Implementing algorithms in robust, efficient, and well-tested code.

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀

📍 Location: Gurugram

💼 Experience: 7-10 Years

About the Role

We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!

Mandatory Technical Skills:

✅ Programming Languages: Proficiency in C++, Python, and C#.

✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:

• Image Segmentation
• Object Detection
• Pattern Recognition
• 3D Reconstruction
• ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
• ✅ Image Processing: Strong understanding of:
• Color-space transformations
• Histogram/Contrast enhancement
• Morphology and frequency domain filtering
• ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
• ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.

Additional Preferred Skills:

🔹 Advanced C++ (STL, multithreading, design patterns).

🔹 Python libraries: Numpy, Pandas, Scikit-learn.

🔹 Knowledge of tools like VTK, ITK, or MITK.

🔹 Understanding of healthcare regulations (e.g., FDA, CE).

Why This Role?

You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.

Job Title: AI/ML Engineer

Location: Delhi, Arjan Garh

Job Type: Full-Time

IMMEDIATE JOINERS REQUIRED

About Us:

Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning.

Key Responsibilities:

• Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems.
• Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance.
• Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models.
• Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows.
• Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities.
• Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality.
• Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies.

Required Qualifications:

• Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields.
• Experience: 2 years’ Experience in AI/ML development, with a proven track record of deploying AI solutions in a production environment.
• IMMEDIATE JOINERS REQUIRED

Technical Skills:

• Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP).
• Experience in integrating AI based solutions with web frameworks like Django, Flask.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

• Experience with reinforcement learning, deep learning, or computer vision.
• Contributions to open-source AI projects or published research in AI/ML.
• Experience with big data technologies (e.g., Hadoop, Spark).

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A collaborative and innovative work environment.
• Flexible working hours and remote work options.

How to Apply:

https://www.linkedin.com/in/preeti-bisht-1633b1263/

Mention current Notice, Current CTC and Expected CTC

Fynd is India’s largest omnichannel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing and learning space. Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG. We are headquartered in Mumbai and have 1000+ brands under management, more than 10k stores and servicing 23k + pin codes.

We want new ambitious research members to join our Machine Learning Research group. We are looking for people with a proven track record in computer vision research. In this role, we create new models, algorithms and approaches to solve challenging machine learning problems. Some of our problems areas include Image Restoration, Image Enhancement, Generative Models and 3D computer vision. You will work on various state-of-art new techniques to improve and optimize neural networks and also use computer vision approaches to solve various problems. You will be required to have in-depth knowledge of image processing and convolutional neural networks. You will tackle our challenging problems also have the freedom to try out your ideas and pursue research topics of your interest.

What you will do:

• Engage in advanced research to push the boundaries of computer vision technology. Leverage core image processing and computer vision fundamentals along with focus on transformer based models, generative adversarial networks (GANs), diffusion models, and other advanced deep learning methods.
• Develop and enhance models for practical applications, including image processing, object detection, image segmentation, and scene understanding, leveraging recent innovations in the field.
• Apply contemporary methodologies to address complex, real-world challenges and create innovative, deployable solutions that enhance our products and services.
• Collaborate with cross-functional teams to integrate new computer vision technologies and solutions into our product suite.
• Remain current with the latest developments in computer vision and deep learning, including emerging techniques and best practices.
• Document and communicate research findings through publications in top-tier conferences and journals, and contribute to the academic community.

Skills needed:

• A BS, MS, PhD, or equivalent experience in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
• Extensive research experience in computer vision, with a focus on deep learning techniques such as transformers, GANs, diffusion, and other emerging models.
• Proficiency in Python, with experience in deep learning frameworks like TensorFlow and PyTorch
• Deep understanding of mathematical principles relevant to computer vision, including linear algebra, optimization, and statistics.
• Proven ability to bridge the gap between theoretical research and practical application, effectively translating innovative ideas into deployable solutions.
• Strong problem-solving skills and an innovative mindset to address complex challenges and apply contemporary research effectively.

What do we offer?

Growth

Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.

Flex University: We help you upskill by organising in-house courses on important subjects

Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.

Culture

Community and Team building activities

Host weekly, quarterly and annual events/parties.

Wellness

Mediclaim policy for you + parents + spouse + kids

Experienced therapist for better mental health, improve productivity & work-life balance 

We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Data Scientist - Healthcare AI

Location: Bangalore, India

Experience: 4+ years

Skills Required: Radiology, visual images, text, classical models, LLM multi-modal

Responsibilities:

·      LLM Development and Fine-tuning: Fine-tune and adapt large language models (e.g., GPT, Llama2, Mistral) for specific healthcare applications, such as text classification, named entity recognition, and question answering.

·      Data Engineering: Collaborate with data engineers to build robust data pipelines for large-scale text datasets used in LLM training and fine-tuning.

·      Model Evaluation and Optimization: Develop rigorous experimentation frameworks to assess model performance, identify areas for improvement, and inform model selection.

·      Production Deployment: Work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

·      Predictive Model Design: Leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models).

·      Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.

·      Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in machine learning and LLMs.

Qualifications:

·      Doctoral or master's degree in computer science, Data Science, Artificial Intelligence, or related field.

·      5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.

·      12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

·      Experience working with cloud-based platforms (AWS, GCP, Azure).

Preferred Qualifications:

o  Experience working in the healthcare domain, particularly oncology.

o  Publications in relevant scientific journals or conferences.

o  Degree from a prestigious university or research institution.

Job Description

 A job where you increase the depth of your expertise in computer vision.

 A job where you learn and implement the SOTA papers.

 A job where you write vectorized code that runs in seconds, not in minutes.

 A job where models learn to see and understand the world around them.

 A job where models run real-time because you optimize every byte.

 A job where you keep the career promises that you made to yourself.

 A job where you keep the learning promises that you made to yourself.

 If this scares you, don't read.

 If this excites you, we might love you.

Role

 We are looking for a passionate Machine Learning Engineer to join our team.

 The ideal candidate will be an enthusiastic developer with 2-5 years of experience in the field of Computer Vision and Artificial Intelligence.

 If building things and writing code excite you, this is the startup you belong.

Key Technologies

 Must be an expert in Python and Numpy.

 Experience with Tensorflow/Keras/Pytorch is required.

 Unsatiable hunger for writing beautiful code.

 Knowledge of python design-patterns.

 Some experience with C++ is preferred.

 Knowledge working closely with version control (GIT).

 Excellent communication skills and being able to work independently.

 Strong problem-solving and coding skills override everything else written above.

About AIMonk

 Run by IIT Kanpur alumni, AIMonk is a deep tech startup.

 We build beautiful and scalable software using computer vision and deep learning.

 We pride ourselves in solving problems nobody else can in the space

Data Scientist with LLM and Healthcare Expertise

Keywords: Data Scientist, LLM, Radiology, Healthcare, Machine Learning, Deep Learning, AI, Python, TensorFlow, PyTorch, Scikit-learn, Data Analysis, Medical Imaging, Clinical Data, HIPAA, FDA.

Responsibilities:

·      Develop and deploy advanced machine learning models, particularly focusing on Large Language Models (LLMs) and their application in the healthcare domain.

·      Leverage your expertise in radiology, visual images, and text data to extract meaningful insights and drive data-driven decision-making.

·      Collaborate with cross-functional teams to identify and address complex healthcare challenges.

·      Conduct research and explore new techniques to enhance the performance and efficiency of our AI models.

·      Stay up-to-date with the latest advancements in machine learning and healthcare technology.

Qualifications:

·      Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

·      6+ years of hands-on experience in data science and machine learning.

·      Strong proficiency in Python and popular data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

·      Deep understanding of LLM architectures, training methodologies, and applications.

·      Expertise in working with radiology images, visual data, and text data.

·      Experience in the healthcare domain, particularly in areas such as medical imaging, clinical data analysis, or patient outcomes.

·      Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

·      PhD in Computer Science, Data Science, or a related field.

·      Experience with cloud platforms (e.g., AWS, GCP, Azure).

·      Knowledge of healthcare standards and regulations (e.g., HIPAA, FDA).

·      Publications in relevant academic journals or conferences.

A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work. 

Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.

Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!

Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.  

Role: Founding ML Engineer, full-time

Location: India. We can sponsor visas to relocate to the US based on fit. 

Compensation: Around INR 25 lakh based on experience + equity

Required Qualifications

• Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
• 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work

Technical

• Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
• Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
• Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
• AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
• Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
• Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units.

● Content Production: Creating content to support demand generation initiatives, and grow brand awareness in a competitive category of an online casino company.

● Writing content for different marketing channels (such as website, blogs, thought leadership pieces, social media, podcasts, webinar, etc.) as assigned to effectively reach the desired target players and marketing goals.

● Data Analysis: Analyze player data to identify trends, improve the player experience, and make data-driven decisions for the casino's operations.

● Research and use AI-based tools to improve and speed up content creation processes.

● Researching content and consumer trends to ensure that content is relevant and appealing.

● Help develop and participate in market research for the purposes of thought leadership content production and opportunities, and competitive intelligence for content marketing.

● Security: Maintain a secure online environment, including protecting player data and preventing cyberattacks.

● Managing content calendars (and supporting calendar management) and ensuring the content you write is consistent with brand standards and meets the brief as-assigned.

● Coordinating with project manager / content manager to ensure the timely delivery of assignments.

● Keeping up to date with content trends, consumer preferences, and advancements in technology.

● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.

The specific responsibilities and requirements for a Marketing Content Supervisor/Manager in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards. 

Salary

Php80, 000 - Php100, 000

INR 117,587.- 146,960

Work Experience Requirements

Essential Qualifications

● Excellent research, writing, editing, proofreading, content creation and communication skills.

● Proficiency/experience in formulating corporate/brand/product messaging.

● Strong understanding of SEO and content practices.

● Proficiency in MS Office, Zoom, Slack, marketing platforms related to creative content creation/ project management/ workflow.

● Content writing / copywriting portfolio demonstrating scope of content/copy writing capabilities and application of writing and SEO best practices.

● Highly motivated, self-starter, able to prioritize projects, accept responsibility and follow through without close supervision on every step.

● Demonstrated strong analytical skills with an action-oriented mindset focused on data-driven results.

● Experience in AI-based content creation tools is a plus. Openness to research and use AI tools required.

● Passion for learning and self-improvement.

● Detail-oriented team player with a positive attitude.

● Ability to embrace change and love working in dynamic, growing environments.

● Experience with research, content production, writing on-brand and turning thought pieces into multiple content assets by simplifying complex concepts preferred.

● Ability to keep abreast of content trends and advancements in content strategies and technologies.

● On-camera or on-mic experience or desire to speak and present preferred.

● Must be willing to report onsite in Cambodia

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

Skills:

• 6+ years of experience in AI/ML engineering.
• Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Expertise in Generative AI techniques.
• Familiarity with cloud platforms such as Azure and AWS.
• Strong background in statistical modelling and content customization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 

Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

Designation: Perception Engineer (3D) 

Experience: 0 years to 8 years 

Position Type: Full Time 

Position Location: Hyderabad 

Compensation: As Per Industry standards 

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Description: 

We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware. 

Technical Skills: 

• Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary. 
• Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional. 
• Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP. 
• Experience in two view and multi-view geometry. 
• Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV. 
• Academic experience for freshers in Vision for Robotics is preferred.  
• Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply. 
• Software development experience on low-power embedded platforms is a plus. 

Responsibilities: 

• Understanding engineering principles and a clear understanding of data structures and algorithms. 
• Ability to understand, optimize and debug imaging algorithms. 
• Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform. 
• Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents. 
• Optimize runtime performance of designed models. 
• Deploy models to production and monitor performance and debug inaccuracies and exceptions. 
• Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
• Thrive in a fast-paced environment and can own the project end to end with minimum hand holding. 
• Learn & adapt to new technologies & skillsets. 
• Work on projects independently with timely delivery & defect free approach. 
• Thesis focusing on the above skill set may be given more preference. 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.  

Job description:

•Candidate should have basic communication and good convincing power.

•Candidate should be comfortable with calling.

•Lead generation, Ability to work in a team or individually as and when required.

•Outstanding problem solving skills.

•Have great interpersonal skills.

•Candidate should have strong organizational skills.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

• 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
• Programming skills in Python, knowledge in Statistics.
• Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Experience in image processing and computer vision.
• Experience working with building data pipelines.
• Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
• Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
• Should have experience in using larger data sets using Postgres Database. 

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience