Data Scientist

at Pranathi Software Services PvtLtd

Data Scientist

Pranathi Software Services PvtLtd

Data Scientist at Pranathi Software Services PvtLtd · Hyderabad · 3 - 5 years · ₹5L - ₹8L / yr · Profitable · Posted 14 May 2025

Data Scientist

at Pranathi Software Services PvtLtd

Posted by J Harish

3 - 5 yrs

₹5L - ₹8L / yr

Hyderabad

Skills

Natural Language Processing (NLP)

Deep Learning

Large Language Models (LLM) tuning

Computer Vision

Job Title: Senior Data Scientist

Location: Hyderabad, India

Experience Level: 3+ years

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development.

Required Skills & Qualifications:

 Programming: Proficiency in Python.

 Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.

 NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.

 Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.

 Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.

 Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.

 Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.

 Django: Experience in building and maintaining backend services and APIs.

 Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.

 REST API Development: Experience in developing and integrating APIs for AIpowered applications.

 Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes.

Job Title: Senior Data Scientist

Location: Hyderabad, India

Experience Level: 3+ years

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development.

Required Skills & Qualifications:

 Programming: Proficiency in Python.

 Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.

 NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.

 Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.

 Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.

 Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.

 Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.

 Django: Experience in building and maintaining backend services and APIs.

 Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.

 REST API Development: Experience in developing and integrating APIs for AIpowered applications.

 Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes.

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About Pranathi Software Services PvtLtd

Founded :

2010

Type :

Services

Size :

100-1000

Stage :

Profitable

About

The company provides total solutions to businesses by offering staffing services through consulting, contingency, or full-time placements. They help businesses determine the most efficient solution to supplement their workforce and keep pace with changing opportunities. The company has a mission to become a value-added partner to businesses by providing immediate and effective total solutions. They offer staffing services to businesses through consulting, contingency, or full-time placements. The company helps businesses determine the most efficient solution to supplement their workforce and keep pace with changing opportunities. They have a history of successfully providing staffing solutions to businesses across various industries. The company operates in industries such as IT, healthcare, finance, and more. Their services help businesses solve staffing problems and ensure that they have the right resources to achieve their long and short-term objectives.

The company provides total solutions to businesses by offering staffing services through consulting, contingency, or full-time placements. They help businesses determine the most efficient solution to supplement their workforce and keep pace with changing opportunities. The company has a mission to become a value-added partner to businesses by providing immediate and effective total solutions. They offer staffing services to businesses through consulting, contingency, or full-time placements. The company helps businesses determine the most efficient solution to supplement their workforce and keep pace with changing opportunities. They have a history of successfully providing staffing solutions to businesses across various industries. The company operates in industries such as IT, healthcare, finance, and more. Their services help businesses solve staffing problems and ensure that they have the right resources to achieve their long and short-term objectives.

Read more

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About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

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tabbasum shaikh

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Ideal Candidate

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Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.
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16.Mandatory ( Age ) - Candidate Should be Below 28 Years.

17.Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

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Posted by Faisal AshrafNomani

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only

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Best in industry

Generative AI

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About the Role:

We are looking for an ideal candidate with 5+ years of experience in Data Science / Machine Learning, with strong hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and AI-powered applications. The candidate should be comfortable working across the complete AI lifecycle—from understanding business requirements and experimenting with models to building, evaluating, deploying, and monitoring production-grade GenAI solutions.

The role requires a combination of strong technical expertise, business understanding, problem-solving ability, and stakeholder management skills.

Key Responsibilities:

Generative AI & LLM

· Design, develop, and deploy Generative AI and LLM-based solutions for enterprise use cases.

· Work with models such as OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or equivalent LLM platforms.

· Develop applications using prompt engineering, structured outputs, function/tool calling, and LLM orchestration.

· Design and implement Retrieval-Augmented Generation (RAG) solutions.

· Work with vector databases and semantic search for enterprise knowledge retrieval.

· Develop and evaluate AI agents and multi-step AI workflows.

· Implement techniques such as prompt optimization, context management, grounding, and hallucination reduction.

· Develop AI solutions for text classification, summarization, information extraction, question answering, document intelligence, and other enterprise use cases.

Machine Learning & Data Science

· Develop and optimize traditional Machine Learning and statistical models where appropriate.

· Perform data exploration, feature engineering, model selection, training, validation, and evaluation.

· Apply appropriate ML and statistical techniques to solve business problems.

· Work with structured, unstructured, and semi-structured data.

· Develop scalable data pipelines to support AI/ML solutions.

· Collaborate with Data Engineers to prepare and manage data for AI applications.

AI Evaluation & Productionization

· Design evaluation frameworks to measure LLM accuracy, relevance, groundedness, toxicity, latency, and cost.

· Implement guardrails and responsible AI practices.

· Monitor model and application performance in production.

· Identify model/data drift and implement appropriate improvement strategies.

· Optimize AI solutions for performance, scalability, reliability, and cost.

· Support deployment and productionization of AI/ML solutions.

· Client & Delivery Responsibilities

· Work closely with the CEO, Delivery team, Solution Architects, Engineering teams, and clients to understand business problems and identify AI opportunities.

· Translate business requirements into practical AI/ML solutions.

· Participate in client discussions, solution presentations, technical workshops, and POCs.

· Develop rapid prototypes and demonstrate the feasibility of GenAI solutions.

· Convert successful POCs into scalable, production-ready applications.

· Provide technical guidance and contribute to AI solution architecture.

· Prepare technical documentation, solution approaches, and project estimates where required.

· Stay current with developments in Generative AI, LLMs, Agentic AI, and AI engineering.

Required Skills:

· 5+ years of hands-on experience in Data Science, Machine Learning, AI, or a related field.

· Strong practical experience in Generative AI and LLM-based applications.

· Strong proficiency in Python.

· Strong understanding of Machine Learning and statistical concepts.

· Hands-on experience with:

o LLMs

o Prompt Engineering

o RAG

o Vector Databases

o Embeddings

o Semantic Search

o LLM Evaluation

o AI Guardrails

· Experience with frameworks/tools such as LangChain, LangGraph, LlamaIndex, or equivalent.

· Experience with APIs and integrating LLMs into enterprise applications.

· Strong SQL and data handling skills.

· Experience working with large and complex datasets.

· Strong understanding of NLP concepts.XX

Technical Skills:

· Experience with OpenAI / Azure OpenAI / AWS Bedrock / Google Vertex AI.

· Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or equivalent.

· Experience with Databricks, Snowflake, or cloud data platforms.

· Experience with Docker and CI/CD.

· Exposure to AWS, Azure, or GCP.

· Experience with ML/AI deployment and MLOps.

· Knowledge of AI security, data privacy, governance, and responsible AI.

· Experience building AI Agents / Agentic AI workflows.

· Experience with multimodal AI is an added advantage

Key Competencies

· Strong analytical and problem-solving ability.

· Ability to translate business problems into practical AI solutions.

· Strong communication and presentation skills.

· Ability to interact confidently with senior stakeholders and clients.

· Strong ownership and delivery mindset.

· Ability to work independently in a fast-paced environment.

Strong experimentation and innovation mindset.
Ability to balance technical feasibility, business value, scalability, and cost.

Required Education & Experience:

· Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline

About the Role:

We are looking for an ideal candidate with 5+ years of experience in Data Science / Machine Learning, with strong hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and AI-powered applications. The candidate should be comfortable working across the complete AI lifecycle—from understanding business requirements and experimenting with models to building, evaluating, deploying, and monitoring production-grade GenAI solutions.

The role requires a combination of strong technical expertise, business understanding, problem-solving ability, and stakeholder management skills.

Key Responsibilities:

Generative AI & LLM

· Design, develop, and deploy Generative AI and LLM-based solutions for enterprise use cases.

· Work with models such as OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or equivalent LLM platforms.

· Develop applications using prompt engineering, structured outputs, function/tool calling, and LLM orchestration.

· Design and implement Retrieval-Augmented Generation (RAG) solutions.

· Work with vector databases and semantic search for enterprise knowledge retrieval.

· Develop and evaluate AI agents and multi-step AI workflows.

· Implement techniques such as prompt optimization, context management, grounding, and hallucination reduction.

· Develop AI solutions for text classification, summarization, information extraction, question answering, document intelligence, and other enterprise use cases.

Machine Learning & Data Science

· Develop and optimize traditional Machine Learning and statistical models where appropriate.

· Perform data exploration, feature engineering, model selection, training, validation, and evaluation.

· Apply appropriate ML and statistical techniques to solve business problems.

· Work with structured, unstructured, and semi-structured data.

· Develop scalable data pipelines to support AI/ML solutions.

· Collaborate with Data Engineers to prepare and manage data for AI applications.

AI Evaluation & Productionization

· Design evaluation frameworks to measure LLM accuracy, relevance, groundedness, toxicity, latency, and cost.

· Implement guardrails and responsible AI practices.

· Monitor model and application performance in production.

· Identify model/data drift and implement appropriate improvement strategies.

· Optimize AI solutions for performance, scalability, reliability, and cost.

· Support deployment and productionization of AI/ML solutions.

· Client & Delivery Responsibilities

· Work closely with the CEO, Delivery team, Solution Architects, Engineering teams, and clients to understand business problems and identify AI opportunities.

· Translate business requirements into practical AI/ML solutions.

· Participate in client discussions, solution presentations, technical workshops, and POCs.

· Develop rapid prototypes and demonstrate the feasibility of GenAI solutions.

· Convert successful POCs into scalable, production-ready applications.

· Provide technical guidance and contribute to AI solution architecture.

· Prepare technical documentation, solution approaches, and project estimates where required.

· Stay current with developments in Generative AI, LLMs, Agentic AI, and AI engineering.

Required Skills:

· 5+ years of hands-on experience in Data Science, Machine Learning, AI, or a related field.

· Strong practical experience in Generative AI and LLM-based applications.

· Strong proficiency in Python.

· Strong understanding of Machine Learning and statistical concepts.

· Hands-on experience with:

o LLMs

o Prompt Engineering

o RAG

o Vector Databases

o Embeddings

o Semantic Search

o LLM Evaluation

o AI Guardrails

· Experience with frameworks/tools such as LangChain, LangGraph, LlamaIndex, or equivalent.

· Experience with APIs and integrating LLMs into enterprise applications.

· Strong SQL and data handling skills.

· Experience working with large and complex datasets.

· Strong understanding of NLP concepts.XX

Technical Skills:

· Experience with OpenAI / Azure OpenAI / AWS Bedrock / Google Vertex AI.

· Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or equivalent.

· Experience with Databricks, Snowflake, or cloud data platforms.

· Experience with Docker and CI/CD.

· Exposure to AWS, Azure, or GCP.

· Experience with ML/AI deployment and MLOps.

· Knowledge of AI security, data privacy, governance, and responsible AI.

· Experience building AI Agents / Agentic AI workflows.

· Experience with multimodal AI is an added advantage

Key Competencies

· Strong analytical and problem-solving ability.

· Ability to translate business problems into practical AI solutions.

· Strong communication and presentation skills.

· Ability to interact confidently with senior stakeholders and clients.

· Strong ownership and delivery mindset.

· Ability to work independently in a fast-paced environment.

Strong experimentation and innovation mindset.
Ability to balance technical feasibility, business value, scalability, and cost.

Required Education & Experience:

· Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline

Read more

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Pune

8 - 12 yrs

₹15L - ₹20L / yr

Data Science

Python

Natural Language Processing (NLP)

Cloud Computing

Data Visualization

🚀 We’re Hiring | Data Scientist 🧠📊

Ready to turn data into real-world intelligence? Join us and work on exciting AI/ML & data-driven solutions!

🔹 Experience: 8+ Years

🔹 Must-Have Skills:

🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization

📍 Location: Pune

💼 Work Mode: Work from Office

If you're passionate about Data Science, AI & solving complex business problems, we’d love to hear from you!

📩 Interested? Kindly text

#Hiring #DataScientist #DataScience #MachineLearning #Python #NLP #AI #Cloud #DataVisualization #TechJobs #HiringNow

🚀 We’re Hiring | Data Scientist 🧠📊

Ready to turn data into real-world intelligence? Join us and work on exciting AI/ML & data-driven solutions!

🔹 Experience: 8+ Years

🔹 Must-Have Skills:

🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization

📍 Location: Pune

💼 Work Mode: Work from Office

If you're passionate about Data Science, AI & solving complex business problems, we’d love to hear from you!

📩 Interested? Kindly text

#Hiring #DataScientist #DataScience #MachineLearning #Python #NLP #AI #Cloud #DataVisualization #TechJobs #HiringNow

Read more

NAM Info Pvt Ltd

Data Scientist

at NAM Info Pvt Ltd

Lata Deepak

Posted by Lata Deepak

Bengaluru (Bangalore)

5 - 8 yrs

₹7L - ₹15L / yr

Machine Learning (ML)

Python

Data Science

Artificial Intelligence (AI)

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

Read more

VY SYSTEMS PRIVATE LIMITED

Data Scientist

at VY SYSTEMS PRIVATE LIMITED

Indira N

Posted by Indira N

Bengaluru (Bangalore), Hyderabad

6 - 12 yrs

₹10L - ₹15L / yr

Data Science

Python

Agentic AI

🚨 Hiring – Data Scientist | Python + Agentic AI

💼 Experience: 5+ Years

Must Have:

• Strong Data Science experience

• Python

• Agentic AI / AI Agents

• Generative AI / LLMs

• RAG / Vector Databases

• LangChain / LangGraph or similar Agent Frameworks

• Machine Learning & NLP

🚨 Hiring – Data Scientist | Python + Agentic AI

💼 Experience: 5+ Years

Must Have:

• Strong Data Science experience

• Python

• Agentic AI / AI Agents

• Generative AI / LLMs

• RAG / Vector Databases

• LangChain / LangGraph or similar Agent Frameworks

• Machine Learning & NLP

Read more

Proximity Works

Senior Data Scientist - AdTech (6-month Contract)

at Proximity Works

1 video

5 recruiters

Tushar Vaghela

Posted by Tushar Vaghela

Remote only

5 - 10 yrs

Best in industry

Python

SQL

Machine Learning (ML)

databricks

Apache Airflow

+1 more

Description

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Responsibilities

Design, build, and deploy scalable machine learning models into production systems.
Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
Optimize query performance, storage usage, and data pipelines for efficiency.
Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
Drive initiatives independently with high ownership and accountability.
Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements

Minimum 5 years of experience in Data Science or Applied Machine Learning.
Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
Proven expertise in deploying ML models into production systems.
Experience with big data platforms (Hadoop, Spark) and distributed data processing.
Hands-on experience with Databricks, Airflow, and AWS EMR.
Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
Solid understanding of query optimization, storage systems, and data pipelines.
Excellent problem-solving skills, with the ability to design scalable solutions.
Strong communication and collaboration skills to work in cross-functional teams.

Benefits

Best-in-class salary: We hire strong talent and compensate accordingly.
Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
High-impact work: Build AI-first systems and products used at scale by global clients.

About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

Description

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Responsibilities

Design, build, and deploy scalable machine learning models into production systems.
Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
Optimize query performance, storage usage, and data pipelines for efficiency.
Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
Drive initiatives independently with high ownership and accountability.
Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements

Minimum 5 years of experience in Data Science or Applied Machine Learning.
Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
Proven expertise in deploying ML models into production systems.
Experience with big data platforms (Hadoop, Spark) and distributed data processing.
Hands-on experience with Databricks, Airflow, and AWS EMR.
Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
Solid understanding of query optimization, storage systems, and data pipelines.
Excellent problem-solving skills, with the ability to design scalable solutions.
Strong communication and collaboration skills to work in cross-functional teams.

Benefits

Best-in-class salary: We hire strong talent and compensate accordingly.
Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
High-impact work: Build AI-first systems and products used at scale by global clients.

About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

Read more

Auxo AI

Senior Data Scientist - AI & ML

Anupam Arya

Posted by Anupam Arya

Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Hyderabad

5 - 12 yrs

₹30L - ₹40L / yr

Machine Learning (ML)

Deep Learning

Generative AI (GenAI)

AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

Own the full ML lifecycle: model design, training, evaluation, deployment
Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
Build agentic workflows for reasoning, planning, and decision-making
Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
Collaborate with product and engineering teams to integrate AI models into business applications
Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Requirements

5+ years of experience in designing, deploying, and scaling ML/DL systems in production
Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
Strong software engineering background with experience in testing, version control, and APIs
Proven ability to balance innovation with scalable deployment
B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
Bonus: Open-source contributions, GenAI research, or applied systems at scale

AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

Own the full ML lifecycle: model design, training, evaluation, deployment
Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
Build agentic workflows for reasoning, planning, and decision-making
Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
Collaborate with product and engineering teams to integrate AI models into business applications
Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Requirements

5+ years of experience in designing, deploying, and scaling ML/DL systems in production
Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
Strong software engineering background with experience in testing, version control, and APIs
Proven ability to balance innovation with scalable deployment
B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
Bonus: Open-source contributions, GenAI research, or applied systems at scale

Read more

Wissen Technology

Python AML

at Wissen Technology

4 recruiters

Shakthi M

Posted by Shakthi M

Bengaluru (Bangalore), Mumbai

5 - 14 yrs

Best in industry

Anti money laundering

Fraud

Python

AML

Django

Must of Skills/Experience

• System Design

• Python

• TensorFlow

• Google ADK or Lang Graph

• Lang Chain , Lang Graph

• Spark

• Agentic AI Design

• ML Ops

• MCP (client and server)

• FastAPI

• Doc Factory

• RAG

• Golang

• LLMs – Gemini, Open AI

• NLP

• Dev Assistant - AI based code - generation

(Qwen or Claude or Copilot)

• CI/CD

• Good in oral and written communication,

collaboration and be a team player

Good to have skills

• DevOps with K8

• Scripting

• Java

• REST API

• UV

• ReACT

• DocFactory

• Unix

Must of Skills/Experience

• System Design

• Python

• TensorFlow

• Google ADK or Lang Graph

• Lang Chain , Lang Graph

• Spark

• Agentic AI Design

• ML Ops

• MCP (client and server)

• FastAPI

• Doc Factory

• RAG

• Golang

• LLMs – Gemini, Open AI

• NLP

• Dev Assistant - AI based code - generation

(Qwen or Claude or Copilot)

• CI/CD

• Good in oral and written communication,

collaboration and be a team player

Good to have skills

• DevOps with K8

• Scripting

• Java

• REST API

• UV

• ReACT

• DocFactory

• Unix

Read more

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