Posted:
7/23/2024, 7:14:47 PM
Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Important Information
Location: Bengaluru, Pune
Experience: 10+ Years
Job Mode: Full-time
Work Mode: Hybrid
Job Summary
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Technical Skills |
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Strong programming skills in languages such as Python, R, or Scala. |
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Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). |
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Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop). |
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). |
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Programming Languages |
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Strong programming skills in languages such as Python, R, or Scala. |
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Machine Learning Frameworks and Libraries |
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Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). |
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Generative AI (GenAI) |
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Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3). |
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Knowledge of fine-tuning GenAI models for specific tasks and industries. |
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Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI. |
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Familiarity with techniques for training and deploying GenAI models. |
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Experience in leveraging GenAI for tasks such as automated content creation and data augmentation. |
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MLOps |
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Proficiency in MLOps practices, including model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) for machine learning models. |
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Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, TFX). |
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Data Manipulation and Analysis |
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Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop). |
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Cloud Platforms |
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data science and machine learning services. |
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Understanding of cloud infrastructure and services for scalable AI deployments. |
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Containerization and Orchestration |
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Proficiency in containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and managing data science solutions. |
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Big Data Technologies |
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Experience with big data technologies (e.g., Apache Kafka, Apache Flink) for handling and processing large datasets. |
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Website: https://encora.com/
Headquarter Location: Scottsdale, Arizona, United States
Employee Count: 10001+
Year Founded: 2003
IPO Status: Private
Last Funding Type: Private Equity
Industries: Big Data ⋅ Cloud Computing ⋅ Software