Senior AI/ML Data Engineer

Innovecture

Pune District

Remote

INR 350,000 - 600,000

Full time

4 days ago
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Benefits offered by this job

Healthcare insurance
Remote work option

Job summary

Innovecture is hiring a Senior AI/ML + Data Engineer to join a distributed team working on advanced AI/ML projects for global clients. You will design, implement, and optimize ML models, data pipelines, and deployment workflows in a remote India setting.

The role emphasizes collaboration with data scientists, software engineers, and business stakeholders to deliver scalable solutions. Ideal candidates have 8+ years of experience, strong Python and ML tooling, and a track record in Generative AI

Qualifications

  • 8+ years of experience in AI/ML and data engineering.
  • Strong Python skills; PySpark is a plus.
  • Experience designing, building, and optimizing ML models and deployment pipelines.
  • Experience building Generative AI applications.
  • Understanding of MLOps and production model lifecycle practices.
  • Experience building/maintaining data pipelines (ETL) from multiple sources.
  • Familiarity with SQL/NoSQL databases and cloud data warehouses.
  • Experience mentoring junior engineers and collaborating with cross-functional teams.
  • Exposure to Palantir platform and AIP features is a plus.
  • Commitment to staying current with AI/ML trends.

Responsibilities

  • Design and implement AI/ML systems and data pipelines across client projects.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver production-ready solutions.
  • Mentor junior engineers and participate in technical design reviews.
  • Stay updated on latest AI/ML techniques and tools and contribute to roadmap.

Skills

Python
ML models
Training pipelines
Generative AI
MLOps
Data pipelines
SQL/NoSQL
Agentic AI
Palantir
Mentoring
Collaboration
PySpark

Tools

TensorFlow
PyTorch
Scikit-learn
LangChain
Keras

Job description

At Innovecture, we are a people-first company. Our success is built on hiring the best talent across the world and nurturing an environment of collaboration, commitment, honesty, and curiosity. We offer a challenging and rewarding journey, while providing our employees with all they need to be successful and happy.

Though we may operate in several countries, we are one team, one family, one INTeam. Come join us and see what it's like to grow with a diverse team.

INNOVATION LABS

Research, create new concepts, prototypes, patents, and help accelerate the growth of Innovecture’s digital future.

IMPACTFUL PROJECTS & PRODUCTS

Be part of an exciting and talented team while working on interesting software/engineering projects and products for leading global customers.

LEARNING & DEVELOPMENT

Innovecture is always looking for growth mindsets in talented people. We have continuous learning baked into our DNA.

GROWTH CULTURE

We hire for attitude and train for skill. We promote a strong culture of team collaboration, transparency, open communication and career growth.

PERKS & BENEFITS

We've got you covered! All employees have access to excellent healthcare insurance & other benefits.

SOCIAL COMMITMENT

We believe in serving others through our corporate social responsibility initiatives and giving our best efforts to build communities wherever we are around the world.

DIVERSITY & INCLUSION

Our core strength lies in global teams of talent that champions our diversity, inclusion and knowledge potential.

Join Our Global Talent Community

This is where we advertise the latest career opportunities at our offices around the world.

Location: Pune, India

Job Id:1483

# of Openings:1

We at Innovecture are hiring for a \" Senior AI/ML + Data Engineer \" to expand our team, this is a Remote position in India. You will work across various Innovecture and client teams and apply your technical expertise to some of the most complex and challenging technology problems.

Founded in 2007 under the leadership of CEO Shreyas Kamat, Innovecture LLC, began as a U.S.-based Information Technology and Management Consulting Company focusing on technology consulting and services. With international development centers located in Salt Lake City, USA, and Pune, India, Innovecture leverages its Global Agile Delivery Model to effectively deliver client projects within budget scope and project deadline. The primary focus of Innovecture is to provide a unique wealth of expertise and experience to the IT and Management Consulting realm by utilizing various technologies across multiple industry domains. Innovecture uses best-in-class design processes and top-quality talent to ensure the highest quality deliverables. With innovation embedded in its consulting and services approach, Innovecture will continue to deliver outstanding results for its Fortune 500 clients and employees.


Experience: 8+ years
Notice Period: Immediate

Key Requirements:

  • Strong expertise in Python (PySpark is a plus)
  • Experience designing, building, and optimizing ML models (classification, regression, NLP)
  • Hands‑on with model training, validation, and deployment pipelines using TensorFlow, PyTorch, or Scikit-learn
  • Experience building Generative AI applications (LangChain or similar libraries)
  • Understanding of MLOps and production model lifecycle practices
  • Experience building/maintaining data pipelines, ETL, and handling structured/unstructured data from multiple sources
  • Familiarity with SQL/NoSQL databases and cloud data warehouses
  • Experience with Agentic AI applications is a plus
  • Exposure to the Palantir platform and AIP features is strong.
  • Strong collaboration skills - ability to work with data scientists, software engineers, and business stakeholders
  • Ability to mentor junior engineers and contribute to technical design reviews
  • Commitment to staying current with AI/ML and data engineering technologies

Innovecture is a vibrant and exciting place to start a career and develop professionally. Since 2007, many graduates have begun their professional journey at Innovecture. They moved up the career ladder to lead the global product / project teams, travelled to onsite locations and held several key positions.

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