20+ Scikit-Learn Jobs in India

Day in the life...

As a machine learning engineer at Neysa, you would be required to

- Collaborate with network engineers and IT teams to identify network-related challenges and areas where ML can provide solutions. Understand the specific network remediation problems that need to be addressed.

- Develop ML-based models and algorithms specific to issues that affect computer networks, for example, congestion, security threats and human errors.

- Be comfortable handling multiple types and data sources and then pre-process and clean them for modelling purposes. 

- Develop machine learning models that analyse networking data to predict (and possibly prevent) issues, detect anomalies or optimise performance. Choose the right approach for each, such as deep learning, reinforcement learning, or traditional statistical methods. 

- Train and evaluate the efficacy of your models, create performance metrics to assess robustness and effectiveness, and use feedback loops to make course corrections.

- Design solutions that can scale to handle large network environments efficiently. This typically means optimising execution latency and resource usage.  

- Integrate your model to work with running and maintaining a network. These could be with other machines, human operators, or both. 

- Document your design, architecture and your thought process. Work with the technical writers to make sure your message gets through.

- Stay updated with all that is changing in AI and ML.

Must have skills

- You should have expertise in machine learning algorithms, data processing, and model development. It would be best to have proficiency in associated frameworks such as TensorFlow, PyTorch or scikit-learn.

- You should understand how computer networks work, how they are used, how they fail, and what happens if they fail.

- You should be proficient in programming languages like Python, R, Go, LISP, etc. It would help if you also were very useful with old-school shell scripting. 

- Experience with data processing tools like Hadoop, Spark or Kafka. 

- An above-average understanding of Linux and operating systems in general.

What separates the best from the rest

ML and AI are continuously evolving, and so is understanding how these technologies can be applied to solve real-world problems. To do your best, you may also need to

- Conceptualise ways to map new problems to existing methodologies or create new ones.

- Be prepared to iterate, reiterate and then iterate your approach.

- Be able to interact with subject matter experts in multiple fields to identify potential use cases for machine learning.

What you can expect

An environment where you can do your best work...

- The best equipment that complements your talents

- The best tools in the business for you to bring your creations to life

- A great environment

- Flexible work hours and flexible work locations

- The opportunity to make your mark and shape the future

- And have fun...

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.

Key Responsibilities:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. Understanding of Data Analysis and Visualization tools and techniques.

Roles & Responsibilities:

-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.

-Define and develop ML infrastructure to improve efficiency of ML development workflows.

Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:

5+ -Experience or Knowledge in ML OPS.

Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.

About UpSolve

We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.

What you will do

• Stay informed on new technologies and implement cautiously
• Maintain necessary documentation for the project
• Fix the issues reported by application users
• Plan, build, and design solutions with a mental note of future requirements
• Coordinate with the development team to manage fixes, code changes, and merging

Location: Mumbai

Working Mode: Remote

What are we looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
• Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
• Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
• Knowledge of databases and SQL for data storage and retrieval.
• Familiarity with version control systems such as Git.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic team environment.
• Good to have Cloud Exposure

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

About the team & role :

Railways are the backbone of India. However, the passenger experience is broken across the board.

Starting with food, where the food served in pantries & platforms is not fit for human consumption,

Railofy is on a mission to create the largest & the most trustworthy brand in this space. Since launch

in Jan 2020, Railofy has scaled to become the leading online food brand in each of the stations that it

operates.

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket

at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience :

 Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms

 2 years of relevant experience with Python coding

 1+ years of OOP’s Structural coding experience.

 Expertise in Python packages like pandas, numPy, scikit-learn, matplotlib, seaborn, Flask, streamlit

 Able to Implement security and data protection solutions

 Accommodating various data storage solutions

Soft Skills:

 Communication skills – effective and amicable communication between groups, developers,

testers, designers, and users

 Analytical skills – Good understanding of algorithms and logic that goes behind coding the

application

 Competence to write clear, optimized, necessary code

 Critical thinking, and troubleshooting skills

 Collaboration and team-orientation

 Task organization, time management

**Required** • 3+ years’ experience designing, developing, and implementing ML / AI algorithms • Strong programming skills in python, including fundamental software engineering principles and machine learning design patterns. • Experience with at least one Deep Learning framework such as TensorFlow, PyTorch, or Keras, or ML framework such as Scikit-learn • Demonstrated understanding in AI/ML algorithms, learning models, graphical models, overfitting, regularization, etc. • Experience in building ML pipelines for processing large datasets. • Understanding of state-of-the-art approaches to computer vision • Experience in working with medical images (MRI/CT/X-Ray, etc…) • Refereed publications in premiere computer vision and/or bioinformatics venues. • Deep knowledge of math (linear algebra), probability, statistics and algorithms • Outstanding analytical and problem-solving skills • Work well with in a fast moving, small team environment

Job Profile: The job profile requires an inter-disciplinary approach to solving technical problems whilst also understanding the business requirements. Knowledge of the power and energy sector and a strong interest in solving national and global energy challenges is a must. This position will involve:

• Developing and maintaining SaaS products for the power and energy sector.
• Working with team members to handle day to day operations and product management tasks.
• Applying Machine Learning techniques to power and energy related data sets. 
• Identification and characterization of complex relationships between multiple weather parameters and renewable energy generation.
• Providing inputs for new product development and improvements to existing products and services.

Requirements:

• Educational Qualification: B.Tech/B.E. Electrical and Electronics Engineering/Software Engineering/Mathematics and Computer Science.
• 1-2 years experience writing code independently in any object oriented programming language. Knowledge of python and its packages is highly preferable (numpy, pandas, keras, OpenCV, sci-kit). 
• Demonstrable experience of project work (academic/internship/job) 
• Ability to work on broad objectives and go from business requirements to code independently. 
• Ability to work independently under minimal supervision and in a team; 
• Preferable to have some understanding of power systems concepts (Power Generation Technologies, Transmission and Distribution, Load Flow, Renewable Energy Generation, etc.)
• Experience working with large data sets and manipulating data to find relationships between variables. 

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  

We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)

• Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
• Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
• Implements performance optimizations and best practices for scalable data models, pipelines and modelling
• Resolve blockers and help the team stay productive
• Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)

• 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
• Strong experience in python, SQL and in-depth understanding of modelling techniques
• Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
• Prior experience with credit risk modelling will be preferred
• Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)

• Expand access to data driven decision making across the organization
• Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

• Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
• Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.

Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

Hammoq Inc is a rapidly growing startup in the reselling sector. Our app provides product listings, cross-platform data analytics, and Cross-platform delisting as our core services.

Launched Web app in 2020 and iOS app at the start of 2021, we are continuing our exponential growth, and we were hoping you could play a core role in our mission.

Hammoq is looking for a Senior ML/Machine Vision Architect / Researcher, an expert in Deep Learning, to join our passionate developers' team to create our unique SaaS web app.

The ideal candidate will be responsible for developing new Machine Learning / Machine vision models according to the business needs. 

*What you'll do

• You’ll lead the ML R&D process at Hammoq.
• You will build ML architectures to optimise the process. 
• You'll collaborate with our hardworking, nimble, and supportive team through daily standups, company presentations, product demos, slack discussions
• You'll work on solving machine vision / Machine Learning problems and implementations.
• You'll use ML libraries of IOS and Android to build and run models on the mobile devices

Skills and expertise that will help you succeed

• Must have experience working with OpenCV, TensorFlow, and Keras environment 
• Must have the ability to develop your own models.
• Working experience of training and deploying computer vision models  
• Experience in Computer Vision and Machine Learning (including Deep Learning) algorithms. 
• Experience in image analytics - including feature extraction, object detection, classification, and tracking 
• Experience in image manipulation
• PhD in Computer Vision , Machine Learning, Machine Vision or any related field is a must.
• Strong programming skills in Python, including NumPy, Scikit Learn, Pandas, and Matplotlib 
• Self-governing analytical problem-solving skills for efficient and uninterrupted development of solutions
• Strong communications skills for an adequate description of technical concepts to others

Nice to have

• Experience in building APIs implementing ML models
• Knowledge or basic understanding of any Cloud ML technologies or Cloud ML service providers.
• Experience in the e-commerce industry

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.