Immediate Openings :: Ai/ml Developer -permanent Role - Remote
- Unify Technologies
- 3 - 8 years
- Hyderabad
- 5 months ago
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Job Description
Dear,
Greetings from Unify Technologies..!!
I hope you are doing well, Im reaching out from Unify Technologies - Hyderabad.
We have followed the Job Opportunity at our company, please go through the job details and let us know if you are interested.
Our Company: Unify Technologies
Our Website: http://unifytech.com/
Linked In: https://www.linkedin.com/company/9206998
Offices in: Hyderabad, Bangalore, Pune, Gurgaon India, and Seattle-USA
Industry/Domain: Product Engineering Big Data, Healthcare, Cyber Security, Mobile.
Few words about Unify Technologies: Unify a Digital Engineering company. We help our clients by providing Digital Engineering Services to develop high-quality products. We have extensive experience in software product engineering and a successful track record of delivering on aggressive delivery plans without compromising on the quality in Cloud, Mobile, and Data practices.
Job Title:
Experience : (3-10Yrs) - Remote Work - Full Time - Permanent Role
Tech Lead AI/ML for Operational Performance & Risk Prediction
Location: Work From Home (India)
Duration: Permanent Role Engagement
Type: Full-time Immediate Joiners Only
Role Overview :
We are seeking a hands-on Tech Lead to own the architecture, development, and delivery of AI-driven solutions that analyze operational performance, predict risks, and optimize workforce efficiency. This is a permanent position for someone who thrives on solving complex business problems with AI/ML, leading small agile teams, and delivering measurable results in a client-facing environment.
Must-Have Skills & Experience Technical Expertise
- AI/ML Modeling:
Strong experience with XGBoost, LightGBM, and Facebook Prophet (time series forecasting).
Proven track record in predictive analytics for operational performance and risk modeling.
Hands-on experience in model explainability (e.g., SHAP, LIME).
- Data Engineering & Integration:
Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow basics).
ETL pipeline development using Azure Data Factory or Apache Airflow.
Experience with SQL (PostgreSQL / MySQL / MS SQL Server).
- Cloud Stack:
Azure (Data Lake, Synapse, Machine Learning Studio) must be proficient.
Deployment of ML models via Azure ML endpoints or containerized solutions.
- MLOps & Versioning:
GitHub/GitLab CI/CD integration.
Model lifecycle management & experiment tracking (MLflow, DVC).
Domain Knowledge
- Understanding of field workforce performance metrics, compliance, and KPI-based vendor evaluation.
- Ability to design a balanced scorecard mapping operational KPIs to financial outcomes.
Leadership & Delivery
Minimum 810 years of total experience, with 3+ years in a Tech Lead or Solution Architect role.
- Experience leading small, agile AI/ML delivery teams (35 engineers).
- Ability to engage with SMEs and translate business goals into technical deliverables.
- Strong communication skills for working with both technical and operations stakeholders.
Nice-to-Have Skills
- Experience with synthetic data generation for AI training.
- Knowledge of audio analytics for operational or maintenance insights.
- Exposure to open-source RAG frameworks (LangChain, Haystack) for operational intelligence.
- Familiarity with rules-engine integration (e.g., Drools) for hybrid AI + deterministic logic solutions.
Key Responsibilities
- Lead solution design, architecture, and technical delivery of AI-driven operational insights.
- Ingest and preprocess historical operational, safety, and financial datasets.
- Build predictive models for workforce performance, delays, and compliance risks.
- Implement model explainability for stakeholder trust and adoption. Integrate outputs into an Azure-based environment.
- Ensure data security and compliance with NDA and IT policies.
- Conduct knowledge transfer to internal and client teams. Engagement Expectations
- Immediate joiners only must be ready to start within 5 business days.
- Availability for daily standups and weekly stakeholder reviews.
- Flexible to work in overlapping hours with US Pacific Time for stakeholder sync.
Kindly reply to this mail with the following details if you are interested in applying for this position to bi**********j@un******h.com
Total Experience:
Highest Education with Passed Out Year:
AI/ML Developer experience:
AI/ML Lead / Tech Architect Experience:
Python programming experience:
AWS or Azure experience:
Current Company:
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Current Location:
Current CTC:
Expected CTC:
Notice Period(LWD,pls):
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Offer In Hand(with Budget):
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**Confirm that you have gone through all company details and job details and that you are interested to pursue this role and job, Company*:
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Unify TechnologiesLocation(s): Hyderabad
Keyskills: Numpy Xgboost Aiml Azure Machine Learning Python Tensorflow SHAP Artificial Intelligence LightGBM Machine Learning LIME Pandas AWS
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