Mid Level - Accounting Manager

Description

Company is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.

As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their Google Cloud journey. You will be expected to work a large spectrum of technology and tools including public cloud platforms, AI and LLMs, Kubernetes, data processing systems, databases, and more.

What you will do...

• Working with our clients to understand their requirements and technical challenges. Using this input you will develop a technical design for a solution and communicate the value of your solution to the client team.
• You will work to develop delivery estimates and an estimated project plan.
• You will act as the lead technical member of the implementation project team. You are responsible for making the key technical and keeping delivery on track. You should be able to unblock when things are stuck.
• Utilize a broad range of technologies such as Kubernetes, AI, and Large Language Models (LLMs), to develop scalable and efficient cloud applications.
• Stay abreast of industry trends and new technologies to drive continuous improvement in cloud solutions and practices.
• Work closely with cross-functional teams to deliver end-to-end cloud solutions, from conceptualization to deployment and maintenance.
• Engage in problem-solving and troubleshooting to address complex technical challenges in a cloud environment.

What we need...

• 5+ years of experience working in a Software Engineering capacity
• Excellent knowledge and experience with Python, and preferably additional languages such as Go
• Strong critical thinking skills, and a bias towards problem solving
• Familiarity with implementing microservice architectures
• Fundamental skills with Kubernetes. You should be familiar with packaging and deploying your applications to k8s
• Experience building applications that work with data, databases, and other parts of the data ecosystem is preferred
• Familiarity with Generative AI workflows, frameworks like Langchain, and experience with Streamlit are all highly desirable, but at a minimum you should have a willingness to learn
• Experience deploying production workloads on the public cloud - either GCP or AWS
• Experience using CI/CD tools such as GitHub Actions, GitLab, etc
• Able to work with new tools and technologies where you may not have prior experience
• Comfortable with being on video in meetings internally and with clients
• Strong English communications skills

We are a fully remote company and offer competitive compensation and benefits.

Role: Embedded Software Developer

Exp: 3-7yrs

Location: Noida

Work Mode: 5days 

Description:

1. Must be B.E./B.Tech./MTech. in Computer Science, IT or related software engineering degree.
2. Must have 3 to 7 years’ experience with strong experience of C system programming in embedded environment.
3. Must have relevant experience of IMS or Telephony domain.
4. Must have excellent S/W design Skills with proven experience of writing efficient code for embedded environment. 
5. Must have experience of Linux or RTOS S/W design programming.
6. Must have excellent debugging skills, good experience on analyzing network protocol Logs.
7. Must be conversant with embedded development tools, debuggers, Network protocol analyzers like Wireshark etc.
8. Must have hands-on experience & understanding of S/W Management Processes: Source Code Management, Unit/Integration Testing, Branch management, Feature Configuration etc.
9. Preferred to have experience on 4G/5G wireless protocol stack or WLAN SW development.
10. Preferred to have worked on Android based Smart Phone or embedded M2M/IOT projects .
11. Preferred to be from leading telecommunication, semiconductor or electronics ODM/OEM company background.
12. Strong Communication skills, Self-driven, Positive attitude & hardworking. 

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Desired Skills & Mindset:

We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.

• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

• Statistical programming software experience in SPSS and comfortable working with large data sets.

• R, Python, SAS & SQL are preferred but not a mandate

• Excellent time management skills

• Good written and verbal communication skills; understanding of both written and spoken English

• Strong interpersonal skills

• Ability to act autonomously, bringing structure and organization to work

• Creative and action-oriented mindset

• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged

• Ability to work under pressure and deliver on tight deadlines

Qualifications and Experience:

• Graduate degree in: Statistics/Economics/Econometrics/Computer

Science/Engineering/Mathematics/MBA (with a strong quantitative background) or

equivalent

• Strong track record work experience in the field of business intelligence, market

research, and/or Advanced Analytics

• Knowledge of data collection methods (focus groups, surveys, etc.)

• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,

and MS Office (Excel, PowerPoint, Word)

• Strong analytical and critical thinking skills

• Industry experience in Consumer Experience/Healthcare a plus

Qualifications/Skills 

1. CS, A background in law will be a strong plus.

2. Strong Excel and Powerpoint skills

Soft skills and personality traits 

1. Should be detail oriented and extremely methodical

2. Should have a pleasant disposition and get along well with people

3. Should have a strong work ethic. If something is not "too low" for Senior Executives and the Founder, it should not be "too low" for the candidate.

Roles and Responsibilities 

1. To ensure compliance with local laws and best practices

2. To prepare monthly and quarterly reports for the board and investors 3. To manage treasury operations as may be required

Hybrid Work Model

DigiXHub is one of the Best Block chain Application Development Company in Bangalore that provides solutions such as Block chain Development(Public, private, Consortium Block chain), Crypto currency Exchanges, ICO & ICO Marketing Services, Crypto currency Wallet Development, Smart contract Development etc.

Description

• Executing Bhavcopy, trades and inform clients. Working on Stock exchange symbols (like NSE, MCX, comex etc.)
• Update clients with latest market information and financial products on trading.

• Collecting relevant information and data on market sentiment via research, valuation and data analysis.

• Monitoring Stock market performance.

• Providing key parties with daily trading information.

Experience: 6 Month to 4 Years

Location: Mumbai (WFO only) Initial few months’ work from home

Notice Period: 0 to 30 days (Immediate joiners are preferred)

(*For Experience candidates Hike will be there as per your performance basis.)*

Criteria

• Any stock market relevant experience.
• Stock Market knowledge is mandatory.

• Added advantage: if worked as Sub broker, or in any sub- broking firm.