AI ML Engineer

Deservely Technologies; Maharashtra; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Deservely Technologies in India is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable ML solutions. You will work on Python-based models, NLP, CV, and predictive analytics in production environments.

You should have hands-on experience with TensorFlow, PyTorch, scikit-learn, Spark, and cloud platforms. The role involves collaborating with cross-functional teams, implementing MLOps pipelines, and delivering secure, high-performance AI applications.

Qualifications

• 4–8 years of experience in AI/ML engineering.
• Strong experience with Python and ML/DL frameworks.
• Experience deploying ML models into production environments.

Responsibilities

• Design, develop and deploy scalable ML/AI solutions.
• Collaborate with cross-functional teams to translate business needs into ML products.
• Build and optimize model training, evaluation and deployment pipelines (MLOps).

Skills

Python

Machine Learning

Deep Learning

NLP

Computer Vision

SQL/NoSQL

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Spark

Docker

Kubernetes

Job description

Job Description – AI/ML Engineer

Experience: 4–8 Years

Location: Indore/Bengaluru/Hyderabad/Pune/Chennai

Employment Type: Full-Time / Contract / Contract-to-Hire

We are looking for a talented AI/ML Engineer with 4–8 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The ideal candidate should have strong expertise in Python, machine learning algorithms, deep learning, and data processing to build scalable, production-ready AI applications.

The candidate should have hands‑on experience with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, and model development, training, evaluation, and optimization. Strong knowledge of supervised and unsupervised learning, natural language processing (NLP), computer vision, predictive analytics, feature engineering, and model performance tuning is essential. Experience working with SQL, NoSQL databases, and big data technologies such as Apache Spark is preferred.

Hands‑on experience with AWS, Azure, or GCP, Docker, Kubernetes, Git, MLflow, FastAPI, and CI/CD pipelines for MLOps is highly desirable. Familiarity with LLMs, Generative AI, RAG, vector databases, and LangChain will be an added advantage.

The ideal candidate should possess strong analytical and problem-solving skills, collaborate effectively with cross-functional teams, and develop secure, scalable, and high-performance AI/ML solutions that drive business value and innovation.

Skills: python, ml, databases, ai ml, machine learning, tensorflow, aws